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    • 1. 发明专利
    • Web site trigger optimization system driving cross-channel operation
    • 网站触发优化系统驱动跨渠道操作
    • JP2011065635A
    • 2011-03-31
    • JP2010178700
    • 2010-08-09
    • Accenture Global Services Gmbhアクセンチュア グローバル サービスィズ ゲーエムベーハー
    • PHILLIPS HIRAKUNATOLI CLAUDIO
    • G06Q10/00
    • G06Q30/02
    • PROBLEM TO BE SOLVED: To provide a system and a method for triggering offline marketing actions based on online behavior. SOLUTION: A marketing optimization system triggers offline marketing actions based on online behavior. The system stores trigger events including conditions for each trigger event. The system also stores captured online behavior. The system includes a cross-channel campaign engine configured to determine from the captured online behavior whether the conditions are satisfied for a stored trigger event. If the conditions are satisfied, the cross-channel campaign engine triggers an offline marketing action associated with the trigger event. The system also optimizes trigger events based on an analysis of the captured online behavior. COPYRIGHT: (C)2011,JPO&INPIT
    • 要解决的问题:提供一种基于在线行为触发离线营销行为的系统和方法。

      解决方案:营销优化系统基于在线行为触发离线营销行为。 系统存储触发事件,包括每个触发事件的条件。 系统还存储捕获的在线行为。 系统包括跨渠道运动引擎,其被配置为从所捕获的在线行为确定对于存储的触发事件是否满足条件。 如果条件满足,跨渠道活动引擎触发与触发事件相关联的离线营销操作。 系统还会根据捕获的在线行为的分析优化触发事件。 版权所有(C)2011,JPO&INPIT

    • 3. 发明专利
    • Digital marketing optimization
    • 数字营销优化
    • JP2010170528A
    • 2010-08-05
    • JP2009242116
    • 2009-10-21
    • Accenture Global Services Gmbhアクセンチュア グローバル サービスィズ ゲーエムベーハー
    • NATOLI CLAUDIOMURRAY SHANECHOI JONG-WON
    • G06Q30/00G06F15/00G06Q50/00
    • G06Q30/02G06Q30/0202
    • PROBLEM TO BE SOLVED: To provide a method for facilitating experimentation, which can yield significant incitement regarding how to achieve desired objectives, such as maximizing product sales. SOLUTION: The method includes steps of: determining a first set of treatments to be delivered to at least one control group over the network for the experiment, wherein each treatment includes a combination of content elements; delivering the first set of treatments to the at least one control group over the network; tracking behavior of each control group as each control group is presented with at least one of the treatments in the first set; determining a confidence for each treatment based on the tracked behavior, wherein each confidence is an estimation of an ability of the corresponding treatment or the combination of content elements in the corresponding treatment to be used to satisfy one or more objectives of the experiment. COPYRIGHT: (C)2010,JPO&INPIT
    • 要解决的问题:提供一种促进实验的方法,这可以显着地煽动如何实现期望的目标,例如最大限度地提高产品销售。 解决方案:该方法包括以下步骤:确定要通过网络传送给至少一个控制组的第一组待处理实验,其中每个处理包括内容元素的组合; 通过所述网络向所述至少一个对照组提供所述第一组治疗; 每个对照组的每个对照组的跟踪行为被呈现在第一组中的至少一个处理中; 基于跟踪行为确定每个治疗的置信度,其中每个置信度是相应治疗的能力的估计或相应治疗中的内容元素的组合用于满足实验的一个或多个目标。 版权所有(C)2010,JPO&INPIT
    • 9. 发明专利
    • Model optimization system using variable scoring
    • 使用可变分数的模型优化系统
    • JP2011065636A
    • 2011-03-31
    • JP2010179381
    • 2010-08-10
    • Accenture Global Services Gmbhアクセンチュア グローバル サービスィズ ゲーエムベーハー
    • UMBLIJS ANDRIS
    • G06Q10/00
    • G06Q30/06G06N5/025
    • PROBLEM TO BE SOLVED: To provide a model optimization system configured to determine quality of variables for model generation, and a method for determining quality of data for modeling. SOLUTION: A model optimization system is configured to determine quality of variables for model generation. A data storage stores input variables, quality metrics for the input variables, and weights for the quality metrics. The quality metrics describe sufficiency of data for the input variables and the data are provided for a plurality of regions. A scoring module determines a score for each region on the basis of the input variables and the weighted quality metrics. An optimizer determines whether at least one of the input variables for a region is to be modified on the basis of the scores, and determines whether the total score for the region is operable to be improved using a modified input variable. COPYRIGHT: (C)2011,JPO&INPIT
    • 要解决的问题:提供被配置为确定用于模型生成的变量的质量的模型优化系统,以及用于确定用于建模的数据质量的方法。

      解决方案:模型优化系统被配置为确定模型生成的变量的质量。 数据存储存储输入变量,输入变量的质量度量和质量度量的权重。 质量度量表示输入变量的数据的充分性,并且为多个区域提供数据。 评分模块基于输入变量和加权质量度量来确定每个区域的得分。 优化器基于分数来确定区域的输入变量中的至少一个是否要被修改,并且使用修改的输入变量确定该区域的总分数是否可操作地被改进。 版权所有(C)2011,JPO&INPIT

    • 10. 发明专利
    • Internet marketing channel optimization
    • 互联网营销渠道优化
    • JP2010191963A
    • 2010-09-02
    • JP2010031192
    • 2010-02-16
    • Accenture Global Services Gmbhアクセンチュア グローバル サービスィズ ゲーエムベーハー
    • WILLIAMS MICHAEL JUMBLIJS ANDRISSRIVASTAVA JANMESHKIRKBY STEPHAN DENISROYTMAN ANATOLY
    • G06Q10/00
    • G06Q30/0243G06Q30/02G06Q30/0247
    • PROBLEM TO BE SOLVED: To optimize an Internet marketing channel for a multichannel marketing campaign. SOLUTION: A system includes an optimization model storage part storing a plurality of optimization models for optimizing the Internet marketing channel, and includes a statement unit determining an estimated miniature profit and loss statement for each item of the Internet marketing channel. The miniature profit and loss statement for each item links a potential investment in the item with estimated revenue and profit for the potential investment. A revenue response unit generates revenue response data for each item based on the miniature profit and loss statement for each item, and a profit response unit generates profit response data for each item based on the miniature profit and loss statement for each item. An efficiency frontier response unit generates efficiency frontier response data from the revenue response data and the profit response data, wherein the efficiency frontier response data identifies a point of diminishing returns for each item based on the investment amount in each item. COPYRIGHT: (C)2010,JPO&INPIT
    • 要解决的问题:优化多渠道营销活动的互联网营销渠道。 解决方案:系统包括存储用于优化互联网营销渠道的多个优化模型的优化模型存储部分,并且包括确定每个互联网营销渠道的项目的估计微小损益表的报表单元。 每个项目的微型损益表将项目的潜在投资与潜在投资的预计收入和利润联系起来。 收益回应单位根据每个项目的微型损益表生成每个项目的收入回报数据,利润回报单元根据每个项目的微型损益表生成每个项目的利润回报数据。 效率前沿响应单元根据收入响应数据和利润回答数据生成效率边界响应数据,其中效率边界响应数据基于每个项目中的投资金额来确定每个项目递减递减点。 版权所有(C)2010,JPO&INPIT